Industrial chain influence map system based on artificial intelligence

An artificial intelligence and influence technology, applied in the creation of semantic tools, resources, instruments, etc., can solve problems such as insufficient understanding of the relationship between data, difficulty in effectively obtaining the strength of node relationships in the macro, meso, and micro, and large amounts of data , to achieve the effect of improving the acquisition efficiency

Pending Publication Date: 2020-12-25
上海明寰科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The amount of data among the existing industrial chains is huge, the relationship between the data is insufficiently understood, the efficiency of information acquisition is low, and it is difficult to effectively obtain the strength of the relationship between nodes in the macro, meso and micro

Method used

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  • Industrial chain influence map system based on artificial intelligence
  • Industrial chain influence map system based on artificial intelligence

Examples

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Embodiment 1

[0023] see figure 1 , an artificial intelligence-based industrial chain influence map system according to an embodiment of the present invention, including a master node 1, a first-level node 2 and a second-level node 3, the master node 1 is the core industry keyword of the industry chain, so The first-level node 2 is an industry keyword directly related to the main node 1, the second-level node 3 is an industry keyword directly related to the first-level node 2, the main node 1 and the first-level node 2 And between the first-level node 2 and the second-level node 3, the direction of the influence relationship is indicated by a straight line with an arrow, and the relationship frequency 4 between the two nodes is set on the straight line with an arrow;

[0024] Among them, based on big data statistics, using artificial intelligence engine, stop words are removed from the statistical word frequency of the research report, and the industry keywords associated with the main node...

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PUM

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Abstract

The invention discloses an industrial chain influence graph system based on artificial intelligence, which comprises a main node, a first-level node and a second-level node, and is characterized in that the main node is a core industry keyword of an industrial chain, the first-level node is an industry keyword having a direct relationship with the main node, and the second-level node is an industry keyword directly related to the first-level node; the directions of influence relations between the main node and the first-level nodes and between the first-level nodes and the second-level nodes are represented through straight lines with arrows, and relation frequencies between the two nodes are set on the straight lines with the arrows. The invention has the beneficial effects that the result can be presented in a picture form, the method is clear and simple, the numbers on the line segments represent the correlation strength, the information acquisition efficiency is improved, and the correlation strength and the correlation direction among macroscopic, mesoscopic and microcosmic nodes can be effectively acquired.

Description

technical field [0001] The present invention relates to the technical field of industrial chain influence analysis, in particular to an artificial intelligence-based industrial chain influence map system. Background technique [0002] Natural language processing is an important direction in the field of computer science and artificial intelligence. It studies various theories and methods that can realize effective communication between humans and computers using natural language. Research in this field will involve natural language, that is, the language that people use every day, and will focus on the development of computer systems, especially software systems, that can effectively communicate in natural language. According to the language properties, the relationship between two nodes is analyzed. [0003] The amount of data among the existing industrial chains is huge, the relationship between the data is insufficiently understood, the efficiency of information acquisi...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/33G06Q10/06G06Q50/14
CPCG06Q10/0635G06Q50/14G06F16/3344G06F16/367
Inventor 窦伟
Owner 上海明寰科技有限公司
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